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  1. Title: Amphibians, New York State, 2000

    Contributors:

    Summary: This data set portrays the distribution of 10 selected amphibians in New York State, based on historical literature and museum records from current and historical sources. The amphibians included are northern cricket frog, American toad, Cope's gray treefrog, gray treefrog, eastern newt, eastern red-backed salamander, northern two-lined salamander, mudpuppy, western lesser siren, and spring peeper. These data are intended for geographic display and analysis at the national level, and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000-scale data. No responsibility is assumed by the U.S. Geological Survey in the use of these data.

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  2. Title: Current Distributions of Selected Amphibians in the United States, 1941-2000

    Contributors:

    Summary: This polygon shapefile portrays the distribution of 10 selected amphibians in the United States, based on historical literature and museum records from current and historical sources ranging from 1941 to 2000. This layer is part of the 1997-2014 edition of the National Atlas of the United States. These data are intended for geographic display and analysis at the national level, and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000-scale data. No responsibility is assumed by the National Atlas of the United States in the use of these data. Lannoo, Michael J., Blackburn, Laura, and Nanjappa, Priya. (2002). Current Distributions of Selected Amphibians in the United States, 1941-2000. National Atlas of the United States. Available at: http://purl.stanford.edu/zg854sn7772. None. Acknowledgment of the primary sources used to acquire these data and (or) the National Atlas of the United States of America is appreciated in products derived from these data. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  3. Title: Campus guide. /Designed and edited by Indiana University Publications, Indiana University Bloomington.

    Contributors:

    Summary: Indexed.; Text, illustrations, and map of Bloomington, Indiana on verso.

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  4. Title: Boston, Massachusetts Region, Digital Elevation Model with Bathymetry

    Contributors:

    Summary: This raster layer represents surface elevation and bathymetry data for the Boston Region, Massachusetts. It was created by merging portions of MassGIS Digital Elevation Model 1:5,000 (2005) data with NOAA Estuarine Bathymetric Digital Elevation Models (30 m.) (1998). DEM data was derived from the digital terrain models that were produced as part of the MassGIS 1:5,000 Black and White Digital Orthophoto imagery project. Cellsize is 5 meters by 5 meters. Each cell has a floating point value, in meters, which represents its elevation above or below sea level.

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  5. Title: Map showing points of interest in Indiana

    Contributors:

    Summary: Panel title.; Includes index to points of interest.; Tourist information on verso. 63 x 40 centimeters on sheet 87 x 56 centimeters Scale approximately 1:800,000 General Map Collection

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  6. Title: Parcels

    Contributors:

    Summary: 1999 property tax assessment data from the City of Boston. Compiled for GIS use by the GIS specialist at the Harvard Graduate School of Design.

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  7. Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2061-2080

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  8. Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2021-2040

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  9. Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2061-2080

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  10. Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2041-2060

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  11. Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2061-2080

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  12. Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2061-2080

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  13. Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2041-2060

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  14. Title: Modeled Historical Monthly Temperature Metrics, Wisconsin 1981-2010

    Contributors:

    Summary: This raster dataset contains a simplified version of the historical downscaled climate data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across the 30-year period from 1981-2010. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). This historical climate data is a subset of the downscaling 'de-biasing' process where the 1950-2005 time period in the climate model is matched to the 1950-2009 in the observed station record. The slight mismatch in the climate and observed time period has negligible impact because climate change operates slowly over decades. Instead it is more important that the climate record is long enough to 'average out' natural climate variability. More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  15. Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2021-2040

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  16. Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2081-2100

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  17. Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2081-2100

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  18. Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2021-2040

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  19. Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2081-2100

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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  20. Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2041-2060

    Contributors:

    Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.

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